Research Article
Development of a Programmable Logic Control Trainer as An Industrial Automation Learning Tool
@INPROCEEDINGS{10.4108/eai.17-9-2024.2352842, author={Muhammad Aulia Rahman Sembiring and Denny Haryanto Sinaga and Arwadi Sinurya and Bakti Waluyo and Jongga Manullang and Reza Arbi Azizi Lubis and Ricky Nelson Tampubolon}, title={Development of a Programmable Logic Control Trainer as An Industrial Automation Learning Tool}, proceedings={Proceedings of the 6th International Conference on Innovation in Education, Science, and Culture, ICIESC 2024, 17 September 2024, Medan, Indonesia}, publisher={EAI}, proceedings_a={ICIESC}, year={2025}, month={1}, keywords={plc trainer module industrial automation utility model}, doi={10.4108/eai.17-9-2024.2352842} }
- Muhammad Aulia Rahman Sembiring
Denny Haryanto Sinaga
Arwadi Sinurya
Bakti Waluyo
Jongga Manullang
Reza Arbi Azizi Lubis
Ricky Nelson Tampubolon
Year: 2025
Development of a Programmable Logic Control Trainer as An Industrial Automation Learning Tool
ICIESC
EAI
DOI: 10.4108/eai.17-9-2024.2352842
Abstract
The rapid advancement in industrial automation necessitates the development of effective learning tools to equip students and professionals with the required skills. This paper presents the design and implementation of a Programmable Logic Controller (PLC) trainer aimed at enhancing industrial automation education. The PLC trainer is developed to provide hands-on experience, simulating real-world industrial scenarios. It incorporates various input and output devices, sensors, and actuators, allowing users to program and control different automation processes. The trainer is designed with a user-friendly interface and comprehensive instructional materials to facilitate learning. The study evaluates the effectiveness of the PLC trainer through a series of tests and user feedback. Results indicate significant improvements in understanding PLC concepts and practical application skills among the participants. This PLC trainer serves as a valuable educational tool, bridging the gap between theoretical knowledge and practical implementation in industrial automation. Future developments will focus on integrating advanced features such as remote access and enhanced simulation capabilities to further enrich the learning experience.